Metodología para evaluar la efectividad del manejo de áreas protegidas marinas.
Bibliographic record
Abstract
La efectividad de manejo se entiende como el grado en que los objetivos de manejo de un área protegida han sido cumplidos. Antes del 1993 no existían en la literatura trabajos sobre este tema, y solo se encontraban artículos que trataban sobre los objetivos y beneficios de las áreas protegidas vistos desde una perspectiva biológica solamente. En el presente trabajo se desarrolla una nueva metodología para evaluar la efectividad de manejo de un área marina protegida y la misma se aplica a un estudio de caso real. La metodología propuesta constituye una herramienta interdisciplinaria que pudiera mejorar el manejo de las áreas marinas protegidas. Esta metodología constituye un paso adelante que se nutre de las contribuciones anteriores y provee un nuevo enfoque a aplicar que va mas allá de lo que se ha logrado hasta el presente en esta temática.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".